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Record W4403239268 · doi:10.29313/bcsurp.v4i3.14949

Analisis Bentuk Promosi Kawasan Pariwisata di Kecamatan Lembang

2024· article· en· W4403239268 on OpenAlexaff
Ilhami Aji Nurrizki, Nia Kurniasari

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEngineering

Abstract

fetched live from OpenAlex

Abstract. The background to this research is the importance of promotion in increasing the number of tourist visits and its impact on the regional economy. Effective promotion can increase tourist awareness and interest in certain tourist destinations. This research aims first to identify forms of tourism promotion in Lembang District, second to identify the effectiveness of existing forms of promotion in Lembang District to increase tourist visits, third to formulate the impact of tourism promotion on the regional economy. This research uses a mix method approach, which combines qualitative and quantitative data. Primary data was collected through field observations, interviews, and distributing questionnaires to tourists and tourist attraction managers. Secondary data was obtained from literature studies and other relevant sources. The analysis was carried out using descriptive methods to describe existing forms of promotion and simple mathematical calculations to formulate the impact of tourism promotion on the regional economy. The research results show that the forms of promotion used in Lembang District vary, including promotion through social media, brochures, tourism events, and collaboration with the private sector. These forms of promotion have developed along with technological advances and changes in tourist preferences. This research also formulates the impact of tourism promotion on the regional economy. It is hoped that this research can contribute to increasing tourism promotion in Lembang District and provide input for local governments, tourist attraction managers and the private sector in planning more effective and sustainable promotions. Abstrak. Latar belakang penelitian ini adalah pentingnya promosi dalam meningkatkan jumlah kunjungan wisatawan dan dampaknya terhadap perekonomian daerah. Promosi yang efektif dapat meningkatkan kesadaran dan minat wisatawan terhadap destinasi wisata tertentu. Penelitian ini bertujuan pertama mengidentifikasi bentuk promosi pariwisata yang ada di Kecamatan Lembang, kedua mengidentifikasi efektifitas bentuk promosi yang ada di Kecamatan Lembang untuk meningkatkan kunjungan wisatawan, ketiga merumuskan dampak promosi pariwisata terhadap perekonomian daerah. Penelitian ini menggunakan pendekatan mix method, yang menggabungkan data kualitatif dan kuantitatif. Data primer dikumpulkan melalui observasi lapangan, wawancara, dan penyebaran kuesioner kepada wisatawan dan pengelola objek wisata. Data sekunder diperoleh dari studi pustaka dan sumber-sumber relevan lainnya. Analisis dilakukan dengan menggunakan metode deskriptif untuk menggambarkan bentuk-bentuk promosi yang ada dan perhitungan matematis sederhana untuk merumuskan dampak promosi pariwisata terhadap perekonomian daerah. Hasil penelitian menunjukkan bahwa bentuk promosi yang digunakan di Kecamatan Lembang bervariasi, termasuk promosi melalui media sosial, brosur, event kepariwisataan, dan kerja sama dengan pihak swasta. Bentuk-bentuk promosi ini telah mengalami perkembangan seiring dengan kemajuan teknologi dan perubahan preferensi wisatawan. Penelitian ini juga merumuskan dampak promosi pariwisata terhadap perekonomian daerah. Penelitian ini diharapkan dapat memberikan kontribusi bagi peningkatan promosi pariwisata di Kecamatan Lembang dan menjadi masukan bagi pemerintah daerah, pengelola objek wisata, dan pihak swasta dalam merencanakan promosi yang lebih efektif dan berkelanjutan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.323
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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